Phd Research Intern, Generalist Embodied Agents Research - Summer 2025

at Nvidia
📍 Santa Clara, United States
USD 30-90 per hour
INTERN
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Python @ 3 Algorithms @ 3 Machine Learning @ 3 TensorFlow @ 3 PyTorch @ 3 CUDA @ 3

Details

NVIDIA is searching for an outstanding research intern to build humanoid robot foundation models and systems in the Generalist Embodied Agent Research (GEAR) group. The mission is to build general-purpose embodied agents that learn to explore and master complex skills across the virtual and physical worlds.

You will work with a collaborative research team focusing on multimodal foundation models, large-scale robot learning, game AI, and physical simulation. Projects include Eureka, VIMA, Voyager, MineDojo, MimicPlay, Prismer, and Project GR00T — a foundation model for humanoid robots. Contributions will impact moonshot research projects and product roadmaps.

Responsibilities

  • Design and implement novel AI algorithms and models for general-purpose humanoid robots and embodied agents
  • Develop large-scale AI training and inference methods for foundation models
  • Optimize and deploy AI models in physical simulation and on robot hardware
  • Collaborate with research and engineering teams across NVIDIA to transfer research to products and services

Requirements

  • Pursuing a PhD degree in Computer Science/Engineering, Electrical Engineering, or related fields
  • Outstanding engineering skills in rapid prototyping and model training frameworks (PyTorch, Jax, Tensorflow); Python required; C++ and CUDA are plus
  • Excellent skills with large-scale machine learning/AI systems and compute infrastructure
  • Experience in at least one area: multimodal foundation models or robotics

Multimodal Foundation Model:

  • Hands-on training and publications in at least one model type: LLMs, vision-language models, video generative models, diffusion models, action-based transformers

Robotics:

  • Hands-on training and publications in robot learning (reinforcement learning, imitation learning, classical control)
  • Deep understanding of robot kinematics, dynamics, and sensors
  • Ability to safely operate robot hardware, lab equipment, and tools
  • Knowledge of control methods (PID, MPC, whole body control)
  • Familiarity with physics simulation frameworks such as Mujoco and Isaac suite

Benefits

  • Internship hourly rate of 30 to 90 USD depending on position, location, year in school, degree, and experience
  • Eligibility for Nvidia intern benefits
  • Commitment to diversity and equal opportunity employment